summarizer_MediQA

Chelomo/summarizer_MediQA

summarizer_MediQA is a machine learning model from Chelomo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Feb 13, 2023
Updated: Feb 16, 2023
SHA: b1355ad4

Model card

From the Hugging Face model README

summarizer_MediQA

This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.9087
Rouge1: 0.1757
Rouge2: 0.0665
Rougel: 0.1487
Rougelsum: 0.1548

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	56	1.9335	0.1799	0.0713	0.1555	0.1613
No log	2.0	112	1.9155	0.1727	0.0672	0.1489	0.1535
No log	3.0	168	1.9087	0.1757	0.0665	0.1487	0.1548

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cpu
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: bart
License: apache-2.0
Created: Feb 13, 2023
Updated: Feb 16, 2023